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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-3 h Setup, laufendPreparation, scenario analysis, and findings review; effort depends on scope1-3 hSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
1Architecture experts and stakeholders for scenarios and weighting3-12Evaluation team, architects, and relevant stakeholders
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesKnowledge Map, Critical Knowledge Areas, Transfer PlanPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
KnowledgeProductivityOrganization
ArchitectureChangeAnalysisComparisonQuality
KnowledgeMappingRisk
ArchitectureQualityRiskTradeoffsStakeholders
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